Ali Lavasani

About

Ali Lavasani is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Ali Lavasani has authored 14 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 7 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Ali Lavasani’s work include Quantum many-body systems (9 papers), Quantum and electron transport phenomena (9 papers) and Quantum Computing Algorithms and Architecture (7 papers). Ali Lavasani is often cited by papers focused on Quantum many-body systems (9 papers), Quantum and electron transport phenomena (9 papers) and Quantum Computing Algorithms and Architecture (7 papers). Ali Lavasani collaborates with scholars based in United States. Ali Lavasani's co-authors include Maissam Barkeshli, Yahya Alavirad, S. Das Sarma, Daniel Bulmash, Guanyu Zhu, Sagar Vijay, Zhu-Xi Luo, Mohammad Hafezi, Michael J. Gullans and Hossein Dehghani and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Physics.

In The Last Decade

Co-authorship network of co-authors of Ali Lavasani i

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Fields of papers citing papers by Ali Lavasani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Lavasani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ali Lavasani. The network helps show where Ali Lavasani may publish in the future.

Countries citing papers authored by Ali Lavasani

Since Specialization

Citations

This map shows the geographic impact of Ali Lavasani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ali Lavasani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Lavasani more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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